Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trial.

Journal: European radiology
Published Date: May 24, 2025

Abstract

PURPOSE: To investigate whether the deep learning reconstruction (DLR) combined with contrast-enhancement-boost (CE-boost) technique can improve the diagnostic quality of CT pulmonary angiography (CTPA) at low radiation and contrast doses, compared with routine CTPA using hybrid iterative reconstruction (HIR).

Authors

  • Leilei Shen
    Department of Thoracic Surgery, Hainan Hospital of Chinese General Hospital of PLA, Sanya.
  • Jinjuan Lu
    Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China.
  • Chun Zhou
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhenghong Bi
    Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China.
  • Xiaodan Ye
    Department of Radiology, Shanghai Chest Hospital Shanghai Jiao Tong University, 200030, Shanghai, PR China. Electronic address: yuanyxd@163.com.
  • Zicheng Zhao
    Shenzhen Byoryn Technology Co., Ltd., Shenzhen 518118, P. R. China.
  • Min Xu
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Mengsu Zeng
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Mingliang Wang
    Faculty of Psychology, Tianjin Normal University, Tianjin, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals